CRAN/E | Surrogate

Surrogate

Evaluation of Surrogate Endpoints in Clinical Trials

Installation

About

In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.

github.com/florianstijven/Surrogate-development
Bug report File report

Key Metrics

Version 3.2.5
R ≥ 3.5.0
Published 2024-03-19 10 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks Surrogate results

Downloads

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Last 7 days 247 -28%
Last 30 days 1.336 +19%
Last 90 days 3.370 +63%
Last 365 days 10.325 +3%

Maintainer

Maintainer

Wim Van Der Elst

wim.vanderelst@gmail.com

Authors

Wim Van Der Elst

cre / aut

Florian Stijven

aut

Fenny Ong

aut

Paul Meyvisch

aut

Alvaro Poveda

aut

Ariel Alonso

aut

Hannah Ensor

aut

Christoper Weir

aut

Geert Molenberghs

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Surrogate archive

Depends

R ≥ 3.5.0

Imports

MASS
lattice
latticeExtra
survival
nlme
lme4
msm
logistf
rms
ks
extraDistr
pbapply
flexsurv
rvinecopulib
maxLik
purrr
MBESS
tidyr
dplyr
numDeriv
optimx
tibble

Suggests

copula
FNN
mgcv
testthat ≥ 3.0.0
vdiffr
parallel
fitdistrplus
kdecopula
cubature
mvtnorm
withr
stringr
ggplot2